3 citations · 9 across the 4 of their papers we have counts for
6 papers
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara +3
Convolutional Neural Networks (CNN) are more suitable, indeed. However, fixed kernel sizes make traditional CNN too specific, neither flexible nor conducive to feature learning, th…
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano
Convolutional Neural Networks (CNN) have been rigorously studied for Hyperspectral Image Classification (HSIC) and are known to be effective in exploiting joint spatial-spectral in…
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification
Muhammad Ahmad
Traditional Active/Self/Interactive Learning for Hyperspectral Image Classification (HSIC) increases the size of the training set without considering the class scatters and randomn…
A Fast 3D CNN for Hyperspectral Image Classification
Muhammad Ahmad
Hyperspectral imaging (HSI) has been extensively utilized for a number of real-world applications. HSI classification (HSIC) is a challenging task due to high inter-class similarit…
Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification
Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad +2
Preserving red-chili quality is of utmost importance in which the authorities demand the quality techniques to detect, classify and prevent it from the impurities. For example, sal…
Anomaly Detection in DevOps Toolchain
Antonio Capizzi, Salvatore Distefano, Manuel Mazzara +3
The tools employed in the DevOps Toolchain generates a large quantity of data that is typically ignored or inspected only in particular occasions, at most. However, the analysis of…